If you have engaged in cross-border e-commerce, social media operation, or advertising, you must have heard a saying—"Logging into multiple accounts from the same IP will definitely lead to a ban."
Many people don't pay much attention at first, thinking, "I haven't done anything wrong, what's the big deal about logging into several accounts on the same computer?" The result is that accounts might be throttled lightly, or in severe cases, directly banned.
Next, let's talk about how the platform knows that you are "multi-logging." What can we do to prevent account association with multiple accounts?

Many platforms (such as Facebook, TikTok, Amazon, Google Ads, etc.) use browser fingerprinting technology to prevent cheating and account farming.
In simple terms, every time you log into your account, the platform records a bunch of environmental information:
IP, operating system, browser version, screen resolution, fonts, graphics card model, timezone, language, cookies...
These combined together are like your "digital ID card."
So, even if you change your account, as long as these environmental parameters are basically the same, the platform can determine that these accounts come from the same device. Coupled with the same IP, identical UA, and the same behavior trajectory, it is easy to be identified as associated accounts and trigger risk control.
Many people think that "using proxy IPs to log in with different accounts will solve the problem," but that's far from enough.
IP is just one dimension of platform identification; browser fingerprinting is the real core. This is where tools like ToDetect for browser fingerprint detection come into play.
Using a detection platform like ToDetect, you can clearly see various fingerprint parameters of your current browser, such as: Canvas fingerprint, WebGL fingerprint, font fingerprint, device ID, etc.
If you run tests in two different browser environments and the results are identical, it indicates that your "anti-association" measures are essentially ineffective. Therefore, merely switching accounts using proxy IPs is like changing the shell; the "identity features" inside have not changed.
To truly achieve account anti-association, the key is to make each account appear as if it belongs to "different people, different devices, and different networks."
Each account is allocated an independent IP address, and multiple accounts should not share the same outbound IP.
You can use high-quality residential proxies or static proxy IPs.
Dynamic proxies may be cheap, but they are prone to IP hopping. If the platform detects frequent changes in a short period, it may classify it as abnormal.
Use fingerprint browsers that support "environment isolation" (such as GoLogin, AdsPower, MoreLogin, etc.),
Or combine with ToDetect browser fingerprint detection to verify the isolation effect.
These tools simulate different device parameters, allowing each account to have an independent browser fingerprint, including:
Canvas, WebGL, time zone, locale, User-Agent, etc.
Fundamentally reduce being recognized as "logged in from the same device."
Each account must separately save cookie, cache, and localStorage data to avoid mutual contamination.
Otherwise, even if you change your IP, the login traces in the cookie are still the same, and the platform can tell at a glance that you are the same device.
The platform will also determine associations through behavior recognition, such as operation time, click frequency, mouse trajectory, and so on.
It is recommended to try to mimic real human behavior as much as possible and avoid batch logging in, batch liking, and batch switching accounts.
Many people are not sure whether they have successfully isolated their environments after setting them up. At this point, you can use ToDetect browser fingerprint detectionPlatform for testing.
Specific approach:
Open the ToDetect detection page in different account environments.
Check whether the fingerprint parameters of each environment are completely different (especially key items such as Canvas, WebGL, screen resolution, etc.);
If the similarity of the detection results is very high, it indicates that the isolation is not thorough and needs to be reconfigured.
This detection method allows you to visibly assess whether your multi-account environment is "clean," which is much more reliable than blindly operating.
The risk control systems on major platforms are becoming increasingly intelligent, and simply switching IPs is no longer effective. To ensure the long-term, safe, and stable operation of an account, it is essential to isolate from the underlying environment.
A true multi-account anti-ban strategy relies not on luck, but on scientific environment isolation.
If you are engaged in cross-border e-commerce, independent websites, social media matrices, or advertising operations, it's time to reassess your account environment. Don't wait until all your accounts are banned to realize the importance of preventing association.
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